Evidence map›Paper›PMID 30563547›Full record

ArticleGenome biology2018

Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation.

Lucas T Husquin, Maxime Rotival, Maud Fagny, Hélène Quach, Nora Zidane, Lisa M McEwen, Julia L MacIsaac, Michael S Kobor, Hugues Aschard, Etienne Patin and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
6.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 159 citations in OpenAlex.

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  11. Estimating population structure using epigenome-wide methylation data.medRxiv : the preprint server for health sciences · 2025
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  14. Subtyping Burkitt Lymphoma by DNA Methylation.Genes, chromosomes & cancer · 2025
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Lucas T HusquinUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France.
Maxime RotivalUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France.
Maud FagnyLaboratory for Epigenetics & Environment, Centre National de Recherche en Génomique Humaine (CNRGH), CEA-Institut de Biologie François Jacob, 91000, Evry, France.
Hélène QuachUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France.
Nora ZidaneUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France.
Lisa M McEwenDepartment of Medical Genetics, University of British Columbia, Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, Canada.
Julia L MacIsaacDepartment of Medical Genetics, University of British Columbia, Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, Canada.
Michael S KoborDepartment of Medical Genetics, University of British Columbia, Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, Canada.
Hugues AschardCenter of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015, Paris, France.
Etienne PatinUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France.
Lluis Quintana-MurciUnit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France. quintana@pasteur.fr.ORCID 0000-0003-2429-6320
Centre National de la Recherche Scientifique · FRUniversity of British Columbia · CACommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitut Pasteur · FR

Funding

European Research Council 281297Marie Curie DLV-655417
6 · The paper itself

Abstract

backgroundDNA methylation is influenced by both environmental and genetic factors and is increasingly thought to affect variation in complex traits and diseases. Yet, the extent of ancestry-related differences in DNA methylation, their genetic determinants, and their respective causal impact on immune gene regulation remain elusive.

resultsWe report extensive population differences in DNA methylation between 156 individuals of African and European descent, detected in primary monocytes that are used as a model of a major innate immunity cell type. Most of these differences (~ 70%) are driven by DNA sequence variants nearby CpG sites, which account for ~ 60% of the variance in DNA methylation. We also identify several master regulators of DNA methylation variation in trans, including a regulatory hub nearby the transcription factor-encoding CTCF gene, which contributes markedly to ancestry-related differences in DNA methylation. Furthermore, we establish that variation in DNA methylation is associated with varying gene expression levels following mostly, but not exclusively, a canonical model of negative associations, particularly in enhancer regions. Specifically, we find that DNA methylation highly correlates with transcriptional activity of 811 and 230 genes, at the basal state and upon immune stimulation, respectively. Finally, using a Bayesian approach, we estimate causal mediation effects of DNA methylation on gene expression in ~ 20% of the studied cases, indicating that DNA methylation can play an active role in immune gene regulation.

conclusionUsing a system-level approach, our study reveals substantial ancestry-related differences in DNA methylation and provides evidence for their causal impact on immune gene regulation.

Indexed as

DNA MethylationGene Expression RegulationImmunity, InnateAdultBlack PeopleEpigenesis, GeneticHumansMaleMonocytesQuantitative Trait LociWhite PeopleAncestryDNA methylationEpigeneticsGene expressionImmunityMediation

Identifiers

PMID30563547
PMCPMC6299574
OpenAlexW2952706790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.